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BOQUILLA DE PLASTICO PARA PROTECCION DE ENDOSCOPIOS.

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RECORD SUMMARY ocds-0ud2q6-423

Total amount

1,392

Number of contracts

1

Buying unit

DIRECCIÓN DE ADMINISTRACIÓN belonging to ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

PLANNING

No data

CALL FOR TENDERS

Government agency

ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

Buying unit

DIRECCIÓN DE ADMINISTRACIÓN

Call type

LICITACION PUBLICA INTERNACIONAL (open)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 423

Title

BOQUILLA DE PLASTICO PARA PROTECCION DE ENDOSCOPIOS.

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Supplier(s)

SOLUCIONES INDUSTRIALES MARITIMAS DE MÉXICO S.A. DE C.V. ,

FRIDMAY S.A. DE C.V. ,

VOR HELICOPTERS S.A. DE C.V. ,

INDAMEX S.A. DE C.V. ,

PROVEEDORA MEXICANA DE ARTICULOS DE CURACION Y LABORATORIO S.A. DE C.V. ,

Equipos de Oficina GB S. A. de C. V. ,

BIO RAD S A DE C V ,

Distribuidora de Pinturas de Calidad S.A. de C.V. ,

ACCESORIOS PARA LABORATORIOS S.A. DE C.V. ,

LABORATORIOS FUEL INJECTION S.A. ,

Luku S.A de C.V. ,

TRANSMEDICA S.A. DE C.V.

Amount

1,392 pesos mexicanos

Award status

active

Signature date

12 de enero de 2015

Execution period

12 de enero de 2015 to 31 de diciembre de 2015

Official documents

See awardNotice 1 on official site www.portaltransparencia.gob.mx
See awardNotice 2 on official site www.insp.mx

This contract is (terminated)

IMPLEMENTATION

No data

GENERAL INFORMATION

Date updated in QQW

9 de mayo de 2021

Source(s)

Portal de Obligaciones de Transparencia (POT)

Part of the project

TodosLosContratos.mx

Organization responsible for the import

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                        library(rjson) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-423")

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python  

                        response = urllib2.urlopen('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-423')   

                        data = json.loads(response.read())

Python (pandas, json)

Add this to your code:


                        import pandas as pd 


                        #Read JSON data into pandas  

                        df = pd.read_json('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-423')